A new inertia emulator and fuzzy-based LFC to support inertial and governor responses using Jaya algorithm

This paper proposes a new load frequency control (LFC) strategy for decreasing the oscillation of system frequency which is caused by load disturbance and wind fluctuations in a wind-thermal power network. The fuzzy logic mechanism is used as the main cornerstone of the LFC for three interconnected...

Full description

Saved in:
Bibliographic Details
Published in2016 IEEE Power and Energy Society General Meeting (PESGM) pp. 1 - 5
Main Authors Azizipanah-Abarghooee, R., Malekpour, M., Zare, M., Terzija, V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Doubly-fed induction generator
Fuzzy logic
Fuzzy logic control
Induction generators
Inertia emulator
Jaya algorithm
Load frequency control
Optimization
Power system stability
Tuning
Wind farms
Wind power generation
Online AccessGet full text

Cover

More Information
Summary:This paper proposes a new load frequency control (LFC) strategy for decreasing the oscillation of system frequency which is caused by load disturbance and wind fluctuations in a wind-thermal power network. The fuzzy logic mechanism is used as the main cornerstone of the LFC for three interconnected areas in a hybrid power system. An online Jaya algorithm is applied to optimally tune the parameters of the proposed controllers as well as the input and output fuzzy membership functions. Moreover, a new inertia emulator is appended to the controlling mechanism of the non-inertia units those are doubly-fed induction generators based wind farms in order to simultaneously enhance both the inertia and governor responses. A 39-bus New England test system containing 10 thermal units and 3 wind farms is used to investigate the performance of the suggested framework in DIgSILENT PowerFactory software.
ISSN:1944-9933
DOI:10.1109/PESGM.2016.7741906